Abstract: An exemplary method of providing content to users of a social networking service includes selecting a first set of users from a plurality of users on a social networking service in a geographic region to receive personalized content. The method further includes setting a first distribution rate for the personalized content during a first period of time based at least in part on a first user-traffic pattern. The method also includes providing the personalized content to client devices of the first set of users in accordance with the first distribution rate during the first period of time. The method further includes tracking posting of the personalized content to the social networking service by the first set of users, and reducing the first distribution rate if a ratio between a number of times the personalized content is posted and a number of times the personalized content is provided satisfies a threshold.

Abstract: An exemplary method of providing content to users of a social networking service includes selecting a first set of users from a plurality of users on a social networking service in a geographic region to receive personalized content. The method further includes setting a first distribution rate for the personalized content during a first period of time based at least in part on a first user-traffic pattern. The method also includes providing the personalized content to client devices of the first set of users in accordance with the first distribution rate during the first period of time. The method further includes tracking posting of the personalized content to the social networking service by the first set of users, and reducing the first distribution rate if a ratio between a number of times the personalized content is posted and a number of times the personalized content is provided satisfies a threshold.

Abstract: An exemplary method of providing content to users of a social networking service includes determining user-traffic patterns during respective periods of time for a plurality of users on a social networking service in a geographic region. The user-traffic patterns including a first user-traffic pattern during a first period of time. The method further includes selecting a first set of users from the plurality of users in the geographic region to receive personalized content. The personalized content is personalized for respective users in the first set of users. The method further includes setting a first distribution rate for the personalized content during the first period of time based at least in part on the first user-traffic pattern and providing the personalized content to client devices of respective users in the first set of users in accordance with the first distribution rate during the first period of time.

Abstract: A method of generating a personalized video for a user of a social networking service. For a plurality of images associated with the user, respective first metrics are determined for respective images of the plurality of images based on one or more predefined image-content criteria, a first set of images is selected from the plurality of images based at least in part on the respective first metrics, and the personalized video is populated with the first set of images. The method further includes providing the personalized video to the user for viewing.

Abstract: An exemplary method of providing content to users of a social networking service includes determining user-traffic patterns during respective periods of time for a plurality of users on a social networking service in a geographic region. The user-traffic patterns including a first user-traffic pattern during a first period of time. The method further includes selecting a first set of users from the plurality of users in the geographic region to receive personalized content. The personalized content is personalized for respective users in the first set of users. The method further includes setting a first distribution rate for the personalized content during the first period of time based at least in part on the first user-traffic pattern and providing the personalized content to client devices of respective users in the first set of users in accordance with the first distribution rate during the first period of time.

Abstract: An exemplary method to cache content for a personalized video includes storing a first tier of images in a first image cache. The images of the first tier are included in a personalized video for a user. Storing a second tier of images in a second image cache. The images of the second tier are alternatives to the images of the first tier. The method further includes providing the personalized video to the user for editing, comprising retrieving the first tier of images from the first image cache and sending the first tier of images to a client device of the user. The method further includes providing the second tier of images to the user as selectable replacements for the first tier of images, comprising retrieving the second tier of images from the second image cache and sending the second tier of images to the client device of the user.

Abstract: An exemplary method to edit a personalized video includes: displaying, in a first portion of the display, a first image slide of a scene in a personalized video, wherein the first image slide includes a first image and the scene includes one or more image slides showing one or more respective images. The method further includes displaying, in a second portion of the display, a plurality of suggested images selectable for inclusion in the scene. The method further includes detecting selection of a second image in the plurality of suggested images and in response to detecting the selection of the second image, replacing the first image with the second image in the first image slide.

Abstract: A method of generating a personalized video for a user of a social networking service. For a plurality of images associated with the user, respective first metrics are determined for respective images of the plurality of images based on one or more predefined image-content criteria, a first set of images is selected from the plurality of images based at least in part on the respective first metrics, and the personalized video is populated with the first set of images. The method further includes providing the personalized video to the user for viewing.